Mechanisms of Self-Diffusion of Linear Associative Polymers Studied by Brownian Dynamics Simulation
Mechanisms of Self-Diffusion of Linear Associative Polymers Studied by Brownian Dynamics Simulation
复制标题
布朗动力学模拟研究线性缔合聚合物的自扩散机理
DOI:
10.1021/acs.macromol.1c01508
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发表时间:
2021
期刊:
影响因子:
5.5
通讯作者:
Olsen, Bradley D.
中科院分区:
文献类型:
--
作者:
Rao, Ameya;Ramírez, Jorge;Olsen, Bradley D.
Anomalous self-diffusive behavior in associative polymer gels has been attributed to the presence of multiple diffusive mechanisms on different length scales; however, the role of these dynamic modes in networks of linear polymers with pendant stickers remains unknown, particularly at sticker densities below the mean-field limit. Here, a generalized Brownian dynamics model is developed to study the effect of transient binding on self-diffusion of unentangled linear polymers with regularly spaced stickers, selected as a prototypical associative network model with wide experimental relevance. The simulations reveal an interplay between several diffusive mechanisms, including segmental fluctuations, “walking” diffusion, and “hopping” diffusion, each governed by a molecule’s connectivity to the network. These dynamic modes combine to result in multiple self-diffusive regimes on different length scales, including two distinct regimes of apparent superdiffusion before terminal Fickian diffusion, consistent with experiments. The two superdiffusive regimes have different physical origins: while one occurs due to a transition from walking to hopping, the second occurs from walking alone on smaller length scales, even in the absence of hopping. This second superdiffusive regime is proposed to arise from an increase in the chain pervaded volume upon sticker detachment, which increases the walking step size compared to the “cage” formed by binding. Each self-diffusive regime is highly sensitive to the sticker concentration, equilibrium constant, and association/dissociation kinetics due to their effects on the walking and hopping modes. Notably, increasing a chain’s sticker density promotes intramolecular loops and enables superdiffusive scaling through hopping; in contrast, increasing the chain concentration promotes intermolecular binding and suppresses hopping, resulting in dynamics approaching the mean-field limit of Fickian center-of-mass diffusion on all length scales. Analytical predictions for the hopping and walking diffusivities demonstrate a link between the static network structure, bond lifetime, and the contribution of each dynamic mode, with qualitative agreement with simulation.
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影响因子:
5.5
作者:
Shen, Wei;Kornfield, Julia A.;Tirrell, David A.
通讯作者:
Tirrell, David A.
影响因子:
5.5
作者:
Ramirez, Jorge;Dursch, Thomas J.;Olsen, Bradley D.
通讯作者:
Olsen, Bradley D.
影响因子:
5.5
作者:
Rasid, Irina Mahmad;Holten-Andersen, Niels;Olsen, Bradley D.
通讯作者:
Olsen, Bradley D.
DOI:
10.1063/1.4993649
发表时间:
2017
期刊:
The Journal of chemical physics
影响因子:
--
作者:
M. K. Sing;Jorge Ramírez;B. Olsen
通讯作者:
B. Olsen
影响因子:
15
作者:
Rapp PB;Omar AK;Silverman BR;Wang ZG;Tirrell DA
通讯作者:
Tirrell DA